使用患者携带的设备来测量休息心率和步数在急性疾病出现之前的变化:国际多中心闪光集团可行性研究
Jason G A den Duijn1, Ahmed A M Hajjaj2, John Kellett3
1Department of Medical Oncology, Erasmus University Medical Center, Dr. Molewaterplein 40, Rotterdam, 3015 GD, The Netherlands, 0031 655014806.
智能设备可以跟踪心率和步数,在入院前识别疾病严重程度. 这项研究发现,在急性护理访问之前,这些指标发生了显著的变化,这表明早期检测的潜力.
科学领域:
- 数字健康数字健康
- 可穿戴技术可穿戴技术
- 急性护理医学急性护理医学
背景情况:
- 细微的生理变化往往会在入院之前发生.
- 智能设备提供了新的方法来监测健康指标,如心率和步数.
- 早期发现健康状况恶化可以帮助临床决策.
研究的目的:
- 评估在紧急情况下使用智能设备数据 (心率,步数) 对患者的可行性.
- 确定可穿戴设备数据是否可以增强对急性疾病严重程度的评估.
主要方法:
- 国际多中心前性观察研究 (34家医院).
- 闪电暴民研究设计涉及患者问卷和智能设备数据提取.
- 从智能手机,智能手表和活动追踪器收集的数据.
主要成果:
- 40%的急症患者有智能设备;可用数据来自20% (n=209).
- 心率显著增加 (P<.001) 和步数减少 (P<.001),在去医院前几天观察到.
- 呈现前一天的心率和步数与患者的情绪相关 (P=.04).
结论:
- 个人智能设备可以切实监测生命体征导致急性护理访问.
- 心率和步数在入院前显著的变化表明了预测潜力.
- 高风险人群目前在智能设备健康监测中代表性不足.
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